Mitsuru Toyoda

Optimal control design for lean NOx trap regeneration in diesel engines

In this paper, optimization problem of after treatment system is investigated for diesel engines with lean NOx trap (LNT). First, a control-oriented LNT model is developed based on energy and mass balancing rules. Then, the optimization problem is formulated as a dynamic programming (DP) problem under developed dynamical model constraint and a trade-off between fuel economy and NOx emission is considered in the cost function. To demonstrate the optimal control obtained by solving the proposed DP problem numerically, the parameters of LNT model are identified with a GT-power diesel engine simulator, and numerical simulation results with comparison to a conventional rule-based control strategy are shown by using the identified model.

D-optimization based mapping calibration of air mass flow in combustion engines

In this paper, a mapping calibration method based on D-optimization algorithm is proposed and applied to the air mass calibration problem. The first procedure is to carry out a preliminary experiment around the main operating domain, and the polynomial regression model is chosen by minimum corrected Akaike Information Criterion (cAIC) criteria. The second procedure is to calculate D-optimal design of experiment for the given model. The experiment results on a full-scale engine test bench is demonstrated to confirm that the proposed method can provide the precise model.